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Please… Enough with the Sloppy, One-Shot SaaS Replacements — Mahmoud Abdelwahab, Railway

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youtube.com
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AI Engineer
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A coding 's passing build and tests can still hide a broken feature, according to Mahmoud Abdelwahab, who built Railway's internal marketing software with agents. In a talk about that tool, Abdelwahab describes asking agents to follow existing pages for interface and data-fetching patterns, then packaging recurring preferences into reusable skills. That gives new features a concrete example to follow.

The final step Abdelwahab describes is to have the agent run the infrastructure and exercise the feature from start to finish. Abdelwahab reports finding broken experiences despite successful builds and passing tests, and says the verification loop made a large difference. This is a practitioner's account from one internal tool, not a measured result, and it treats actual use of the application as part of the implementation loop.

Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
  • agentic loop — The cycle an agent runs in: decide, call a tool, read the result, decide again — repeating until the goal is met or a stop condition fires.
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